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Stability Analysis for Delayed Neural Networks via Some Switching Methods.
- Source :
- IEEE Transactions on Systems, Man & Cybernetics. Systems; May2020, Vol. 50 Issue 5, p1690-1695, 6p
- Publication Year :
- 2020
-
Abstract
- In this paper, the stability problem of delayed neural networks is investigated by adopting some switching methods. First, the delay interval is divided into many smaller variable intervals, and when the smaller variable interval is regarded as a mode of the delay, delayed neural networks are modeled as switched systems. Then, by using some switching methods, less conservative stability criteria are derived to ensure the stability of delayed neural networks. Finally, one example is provided to show the effectiveness of the obtained criteria. [ABSTRACT FROM AUTHOR]
- Subjects :
- STABILITY criterion
ARTIFICIAL neural networks
Subjects
Details
- Language :
- English
- ISSN :
- 21682216
- Volume :
- 50
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics. Systems
- Publication Type :
- Academic Journal
- Accession number :
- 142797790
- Full Text :
- https://doi.org/10.1109/TSMC.2017.2782233